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GAINS, air emission inventories and data completeness. Karin Kindbom IVL Swedish Environmental Research Institute Russian-Swedish bilateral cooperation project: “Development of the Co-operation within CLRTAP” Seminar at the International session of "Atmosphere 2012"
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GAINS, air emission inventories and data completeness Karin Kindbom IVL Swedish Environmental Research Institute Russian-Swedish bilateral cooperation project: “Development of the Co-operation within CLRTAP” Seminar at the International session of "Atmosphere 2012" St Petersburg, April 17, 2012
Outline of the presentation • GAINS and input data needs • Data collection • Role of air emission inventories • Data completeness • Example of Swedish air emission inventory system • Conclusions
On-going bilateral projects • Russian Federation - Sweden • Belarus - Sweden • Ukraine – Sweden • Objective: • Increased capacity to use the GAINS model as a national tool for policy support • Overall experience from projects: • Data completeness and data availability is a primary obstacle
The GAINS model • GAINS is an Integrated Assessment Model (IAM) where information on air pollutants is integrated • emissions • technical abatement options • costs • dispersion • effects • Used for calculation and optimization of European abatement strategies for air pollution within ”UN ECE Convention on Long Range Transboundary Air Pollution (CLRTAP)”. • GAINS model developed by IIASA (The International Institute for Applied Systems Analysis) (www.iiasa.ac.at)
Data collection • Established data collection procedure implies: -identified data types needed for each GAINS sector; -identified level of data aggregation needed (federal districts, oblast, city); -identified organisations – data providers for each data type; -agreement on (long-term) cooperation between data providers and data users; -developed and documented routines for obtaining/delivering data (request, report, online-research), including, if possible, desirable data format; • Data collection procedure can be connected to or separated from the one for Kyoto protocol reporting (legally defined procedure with distributed responsibilities between organisations);
Bilateral projects in Russia, Belarus and Ukraine (with Sweden) • Goal is being able to use national GAINS model as a tool for policy and planning purposes • Must create complete input data, otherwise the national results can be misleading • No country has complete national input data! • IIASA has made assumptions for all countries based on international databases and models • Where national data are missing, use IIASA assumptions = BEST AVAILABLE ESTIMATES.
Guidance developed in bi-lateral project with Russian Federation • Guidance document on application of the GAINS model in the state environmental management system of the Russian Federation /Руководство по применению модели GAINS для решения природоохранных задач в Российской Федерации • www.rusaco.se (Russian-English) • Also information on the project, on air pollution in general, air pollution and air protection in the Russian Federation • Useful links
Role of national air emission inventory • Updated and reported regularly, based on national activity data and emission factors • Get an overview and identify important sources • Basis for national planning and strategy for abatement control measures • Basis for assessing development of air emissions over time • Follow-up under Conventions • As input to GAINS model calculations, or validation of GAINS model results
LRTAP Convention Guidance • EMEP/EEA- Emission InventoryGuidebook in Russian • http://www.eea.europa.eu/publications-ru/emep-eea/ • The translationwascarriedout by SRI Atmosphere, JSC and its partners in the Russian Federation • Funded by Norway, EEA and SRI Atmosphere • CEIP - Center on Emission Inventories and Projections • http://www.ceip.at/ • Reportinginstructions • Country submissions ofinventories • Emission data • Review procedure and reviewresults • Manyusefullinks
Requirement for useful national air emission inventory • Complete data • All importantsectors and sources estimated • No major data gaps • Preferablybased on national data. • If not available, best availableestimates! • Best availableestimates: • Default values from EMEP/EEA Emission InventoryGuidebook • Data from international databases • National expert estimates • Other national information or studies • Proxys from countrieswithsimilarconditions • …
Completeness, comparison of data sets • Example of data sets: • Data reported to CLRTAP/UNECE • Data reported to UNFCCC (SO2, NOx, NMVOC) • National data in GAINS • Data in GAINS as estimated by IIASA • Other national information • Comparison with data from countries with similar conditions • Are data reasonable? • Identify data gaps and differences!
Analysis of identified differences • Sectors/sources included? • Activity data? • Emission factors? • Assumptions/methods/other underlying data? • Document identifieddifferences and data gaps • Make a plan for stepwise improvement of data • Prioritize important sources!
One example: Swedish air inventory work and data collection • Annual inventory project • Lead by a project leading team (one from each of four organization) • Greenhouse gases and air pollutants covered in the same system • Common workspace and archive at www.projectplace.se • Work guided by a quality assurance/quality control (QA/QC) system and manual • Identified authorities to contribute by calculated or other input data (or review of calculated data). • Swedish Ordinance 2005:626 defines responsibilities for authorities • Inventory compilers collect remaining data
Emissions Activity data Emission factors Emission factors Methodology Emissions Activity data Emission factors Activity data Activity data Emission factors Activity data Sources of information/data
Data handling • All common data and documents are kept and archived at a workspace on the web, accessible to all inventory staff. • Confidential input data are archived separately. • A technical support system is the master database. It allows for some quality control (QC), as well as archiving and version control.
Annual Process of Air Inventory Preparation • Data collection • Data processing • Compilation (reporting tables, inventory reports), internal audit • Submission to the Swedish EPA • National independent review (GHGs), corrections, suggestions for improvements • Swedish EPA submits to the Ministry of Environment • Ministry of Environment submits to Conventions and EU • International review, suggestions for improvements Improvements
Conclusions • An established system and process important for reliable and complete input data collection • Define data needed and data providers • Develop long-term co-operation for data delivery • input to emission inventory • additional data as input for GAINS, e.g cost, scenarios, technologies • Develop co-operation with relevant experts • emission factors, technical experts, independent review etc • Quality system and plan for stepwise improvements • Enough resources